Computer simulations could predict language rehabilitation outcomes in stroke survivors
When bilingual people lose the ability to speak due to brain damage from a stroke or head injury, deciding which language will be easier to relearn can be a guessing game. Now, UT researchers can better determine which language people will recover more easily.
UT and Boston University researchers created a brain simulation that predicts rehabilitation outcomes for bilingual patients experiencing language loss due to aphasia, according to their study published May 18.
“Once you understand their language background and how impaired they are, the model can predict how (many) improvements the person is going to make if they received therapy,” said Swathi Kiran, director of Boston University’s Aphasia Research Laboratory and lead author of the study.
Kiran said her team assessed the patient’s relationship with each language and determined the severity of communication loss based on the patients’ history.
Read more: https://thedailytexan.com/2021/06/28/computer-simulations-could-predict-language-rehabilitation-outcomes-in-stroke-survivors/